BIO

PUBLICATIONS

RESEARCH

TEACHING

Edward Chang   張智威

Founder, AiLLy, GAI with Consciousness
Co-Founder, Rafel, No Robots Left Behind
Director, SocraSynth Lab, Stanford, Illuminating the Unknown
Adjunct Professor, Computer Science, Stanford University
Research Interests: Consciousness Modeling | Generative AI | Healthcare

Visiting Professor, UC Berkeley, 2017 - 2020
President, HTC Healthcare (DeepQ), 2012 - 2021
Director of Research, Google, 2006 - 2012
Professor, University of California, Santa Barbara, 1999 - 2006
MS CS, PhD EE, Stanford University

Wikipedia | Linkedin Profile | CV
Contact: echang@cs.stanford.edu

Stanford OVAL: Open Virtual Assistant Lab
Google/DeepQ Open AI Platform

Teaching

Spring 2024, Stanford University
CS372 Artificial Intelligence for Precision Medicine and Psychatric Disorders
(Welcome non-CS majors to bring your domain expertises to experiment with the latest GAI technologies.)

Spring 2023, Stanford University
CS372 Artificial Intelligence for Precision Medicine and Psychatric Disorders
(Experimenting with ChatGPT to develop a healthcare chatbot)

Spring 2019 - 2022, Stanford University
CS372 Artificial Intelligence for Disease Diagnosis and Information Recommendations

Invited Talks

Selected List

Books

New Textbook Announcement

SocraSynth: Socratic Synthesis with Multiple Large Language Models --- Principles and Practices.


Journey of the Mind (Poetry)
Edward Y. Chang
Ailly.ai, June 2023





What is Life (Mandarin Translation)
Edward Y. Chang, and Rosalind J. Chang
Ailly.ai, 2021





Big Data Analytics for Large-Scale Multimedia Search
Stefanos Vrochidis, Benoit Huet, Edward Y. Chang, and Ioannis Kompatsiaris
Wiley, 2019





Nomadic Eternity (Poetry)
Edward Y. Chang
Tsinghua University Press, 2012





Foundations of Large-Scale Multimedia Information Management and Retrieval
Edward Y. Chang
Springer, 2011




Selected Publications (visit full list)
Healthcare, Deep Learning, Scalable Machine Learning, Computer Vision


Cooperate Sales Planning Using Multiple Collaborative LLMs
Wen-Kwang Tsao and Edward Y. Chang
Stanford Inforlab Technical Report, February 2024
PDF | BibTex




SocraSynth: Multi-LLM Reasoning with Conditional Statistics
Edward Y. Chang
Stanford Inforlab Technical Report, September, 2023 (revised January 2024)
PDF | BibTex




SocraHealth: Enhancing Medical Diagnosis and Correcting Historical Records
Jocelyn J. Chang and Edward Y. Chang
The 10th IEEE International Conference on Computational Science and Computational Intelligence (CSCI'23), December 2023
PDF | BibTex




Examining GPT-4’s Capabilities and Enhancement with SocraSynth
Edward Y. Chang
The 10th IEEE International Conference on Computational Science and Computational Intelligence (CSCI'23), December 2023
(Top-1% accessed paper on ResearchGate)
PDF | BibTex




Discovering Insights Beyond the Known: A Dialogue Between GPT-4 Agents from Adam and Eve to the Nexus of Ecology, AI, and the Brain
Edward Y. Chang, Emily J. Chang
Stanford Inforlab Technical Report, August 2023 (Most read paper in August on ResearchGate)
PDF | BibTex




Prompting Large Language Models With the Socratic Method
Edward Y. Chang
IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), March 2023 (The best presentation in the AI track)
PDF | BibTex




CoCoMo: Computational Consciousness Modeling for Generative and Ethical AI
Edward Y. Chang
arXiv:2304.02438 e-print, February, 2023
PDF | BibTex




CRIT: An Inquisitive Prompt Template for Critical Reading
Edward Y. Chang
Stanford InfoLab Technical Report, January 2023
Online | BibTex




Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and future directions
Edward Y. Chang
arXiv:2212.13591 e-print, December 27th, 2022
Chapter 2 in Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases (ISBN: 9780323991360), Elsevier, August 22, 2023
PDF | BibTex




Artificial Intelligence in XPRIZE DeepQ Tricorder (XPRIZE Award)
EY Chang, MH Wu, KF Tang, HC Kao, CN Chou
Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, 2017
ACM Multimedia Conference Keynote, 2017
PDF | Bibtex | Press




Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology
HTC DeepQ, Stanford University, National Taiwan University
IEEE Infrastructure Conference, 2020 (invited paper)
PDF | Extended Version | IEEE Keynote | BibTex




RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, EY Chang, SW Liao
International Conference on Computer Vision (ICCV), 2019
PDF | BibTex




MBS: Macroblock Scaling for CNN Model Reduction
YH Lin, CN Chou, EY Chang
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019
PDF | BibTex




Toward Fusing Domain Knowledge with Generative Adversarial Networks to Improve Supervised Learning for Medical Diagnoses
FC Chang, JJ Chang, CN Chou, EY Chang
IEEE MIPR Conference (invited paper), 2019
PDF | BibTex




EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks
SW Chen, CN Chou, EY Chang
AAAI Conference, 2019
PDF | BibTex




REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
YS Peng, KF Tang, HT Lin, EY Chang
Advances in Neural Information Processing Systems (NeurIPS) Conference, 2018
PDF | BibTex




Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning
HC Kao, KF Tang, EY Chang
AAAI Conference, 2018
PDF | BibTex




Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
J Huang, WX Zhao, H Dou, JR Wen, EY Chang
ACM SIGIR Conference, 2018
Paper | BibTex




Predicting the Popularity of Online Content with Knowledge-enhanced Neural Networks
H Dou, WX Zhao, Y Zhao, D Dong, JR Wen, EY Chang
ACM KDD Conference, 2018
PDF | BibTex




Joint Representation Learning for Location-Based Social Networks with Multi-Grained Sequential Contexts
WX Zhao, F Fan, JR Wen, EY Chang
ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (2), 22, 2018
Paper | BibTex




DeepLinQ: Distributed Multi-Layer Ledgers for Privacy-Preserving Data Sharing
SW Liao, EY Chang, CT Liu, WC Lin, PW Liao, WK Fu, CH Mei, EJ Chang
IEEE Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018
PDF | BibTex




DeepQ Arrhythmia Database: A Large-Scale Dataset for Arrhythmia Detector Evaluation
MH Wu, EY Chang
Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, 2017
PDF | BibTex




Distributed Training Large-Scale Deep Architectures
SX Zou, CY Chen, JL Wu, CN Chou, CC Tsao, KC Tung, TW Lin, CL Sung, EY Chang
International Conference on Advanced Data Mining and Applications, 18-32, 2017
PDF | BibTex




ARISTO: An Augmented Reality Platform for Immersion and Interactivity
Z Zheng, B Wang, Y Wang, S Yang, Z Dong, T Yi, C Choi, EJ Chang, EY Chang
ACM Multimedia Conference, 690-698, 2017
PDF | BibTex




CLKN: Cascaded Lucas-kanade Networks for Image Alignment
CH Chang, CN Chou, EY Chang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
PDF | BibTex




A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories
C Yang, M Sun, WX Zhao, Z Liu, EY Chang
ACM Transactions on Information Systems (TOIS) 35 (4), 36, 2017
Paper | BibTex




Mining Product Adopter Information from Online Reviews for Improving Product Recommendation
WX Zhao, J Wang, Y He, JR Wen, EY Chang, X Li
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (3), 29:1-29:23, 2016
Paper | BibTex




Connecting Social Media to E-Commerce: Cold-Start Product Recommendation Using Microblogging Information
WX Zhao, S Li, Y He, EY Chang, JR Wen, X Li
IEEE Transactions on Knowledge and Data Engineering (TKDE) 28 (5), 1147-1159, 2016
Paper | BibTex




Tweet Timeline Generation with Determinantal Point Processes
J Yao, F Fan, WX Zhao, X Wan, EY Chang, J Xiao
AAAI Conference, 3080-3086, 2016
PDF | BibTex




Transfer Representation Learning for Medical Image Analysis
CK Shie, CH Chuang, CN Chou, MH Wu, EY Chang
IEEE International Conference on Engineering in Medicine and Biology Society (EMBC), 2015
Paper | BibTex




Network Representation Learning with Rich Text Information
C Yang, Z Liu, D Zhao, M Sun, EY Chang
IJCAI, 2111-2117, 2015
Paper | BibTex




Exact Recoverability of Robust PCA via Outlier Pursuit with Tight Recovery Bounds
H Zhang, Z Lin, C Zhang, EY Chang
AAAI Conference, 3143-3149, 2015
PDF | BibTex




A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm
Z Li, D Zhao, Z Lin, EY Chang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Paper | BibTex




Big Data Small Footprint: the Design of a Low-Power Classifier for Detecting Transportation Modes
MC Yu, T Yu, SC Wang, CJ Lin, EY Chang
Proceedings of the VLDB Endowment 7 (13), 1429-1440, 2014
PDF | BibTex




Context-aware Computing: Opportunities and Open Issues
EY Chang
Proceedings of the VLDB Endowment 6 (11), 1172-1173, 2013
PDF | BibTex




MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking
J Jiang, H Bao, EY Chang, Y Li
Proceedings of the VLDB Endowment 5 (12), 1838-1849, 2012
PDF | BibTex




A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering
TC Zhou, X Si, EY Chang, I King, MR Lyu
AAAI, 2012
PDF | BibTex




PLDA+: Parallel Latent Dirichlet Allocation with Data Placement and Pipeline Processing
Z Liu, Y BIGDATA, EY Chang, M Sun
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 2011
PDF | BibTex | Open Source




Parallel Spectral Clustering in Distributed Systems
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, EY Chang, M Sun
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 33 (3), 2011
PDF | BibTex | Open Source




Confucius and its Intelligent Disciples: Integrating Social with Search
X Si, EY Chang, Z Gyöngyi, M Sun
Proceedings of the VLDB Endowment 3 (1-2), 1505-1516, 2010
PDF | BibTex




Adheat: An Influence-based Diffusion Model for Propagating Hints to Match Ads (best paper)
H Bao, EY Chang
World Wide Web Conference (WWW), 71-80, 2010
PDF | BibTex




PLDA: Parallel Latent Dirichlet Allocation for Large-Scale Applications
Yi Wang, Hongjie Bai, Matt Stanton, Wen-Yen Chen, EY Chang
International Conference on Algorithmic Applications in Management, 301-314, 2009
PDF | BibTex | Open Source




PFP: Parallel FP-Growth for Query Recommendation
H Li, Yi Wang, D Zhang, M Zhang, EY Chang
ACM Conference on Recommendation Systems, 107-114, 2008
PDF | BibTex | Open Source




PSVM: Parallelizing Enhancing Vector Machines on Distributed Computers
EY Chang, K Zhu, H Wang, H Bai, J Li, Z Qiu, H Cui
Advances in Neural Information Processing Systems (NIPS), 257-264, 2007
PDF | BibTex | Open Source




Learning the Unified Kernel Machines for Classification
SCH Hoi, MR Lyu, EY Chang
ACM SIGKDD Conference, 187-196, 2006
PDF | BibTex




Concept Boundary Detection for Speeding up SVMs
Navneet Panda, Edward Y Chang, Gang Wu
International Conference on Machine Learning (ICML), 681-688, 2006
PDF | BibTex




An Analysis of Transformation on Non-Positive Semidefinite Similarity Matrix for Kernel Machines
Gang Wu, Edward Y Chang, Zhihua Zhang
International Conference on Machine Learning (ICML), 2005
PDF | BibTex




Formulating Context-Dependent Similarity Functions
G Wu, EY Chang, N Panda
ACM Multimedia Conference, 725-734, 2005
PDF | BibTex




Formulating Distance Functions via the Kernel Trick
G Wu, EY Chang, N Panda
ACM KDD Conference, 703-709, 2005
PDF | BibTex




KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution
M Fan, D Zhao, Q Zhou, Z Liu, TF Zheng, EY Chang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 17 (6), 786-795, 2005
PDF | BibTex




Enhanced Perceptual Distance Functions and Indexing for Image Replica Recognition
A Qamra, Y Meng, EY Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 27 (3), 379-391, 2005
PDF | BibTex




Adaptive Stream Resource Management Using Kalman Filters
A Jain, EY Chang, YF Wang
ACM SIGMOD International Conference on Management of Data, 11-22, 2004
PDF | BibTex




Multimodal Concept-Dependent Active Learning for Image Retrieval
KS Goh, EY Chang, WC Lai
ACM Multimedia Conference, 564-571, 2004
PDF | BibTex




Multi-Camera Spatio-Temporal Fusion and Biased Sequence-Data Learning for Security Surveillance
G Wu, Y Wu, L Jiao, YF Wang, EY Chang
ACM Multimedia Conference, 528-538, 2004
PDF | BibTex




The Anatomy of a Multimodal Information Filter
YL Wu, KS Goh, B Li, H You, EY Chang
ACM KDD Conference, 2003
PDF | BibTex




Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning
G Wu, EY Chang
International Conference on Machine Learning (ICML), 816-823, 2003
PDF | BibTex




Class-Boundary Alignment for Imbalanced Dataset Learning
G Wu, EY Chang
ICML workshop on Learning from Imbalanced Data Sets, 2003
PDF | BibTex




CBSA: Content-Based Soft Annotation for Multimodal Image Retrieval Using Bayes Point Machines (invited paper)
EY Chang, K Goh, G Sychay, G Wu
IEEE Transactions on Circuits and Systems for Video Technology, 13 (1), 26-38, 2003
PDF | BibTex




DynDex: A Dynamic and Non-Metric Space Indexer
KS Goh, B Li, EY Chang
ACM Multimedia Conference, 466-475, 2002
PDF | BibTex




DPF - A Perceptual Distance Function for Image Retrieval
B Li, EY Chang, CT Wu
IEEE International Conference on Image Processing (ICIP), 2002
PDF | BibTex




Support Vector Machine Active Learning for Image Retrieval
S Tong, EY Chang
ACM Multimedia Conference, 107-118, 2001
PDF | BibTex




Effective Memory Use in a Media Server
EY Chang, H Garcia-Molina
VLDB Conference, 496-505, 1997
PDF | BibTex